DSnoT. Official Pytorch Implementation of Our Paper Accepted at ICLR 2024-- Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
51cam. Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference
50DDA. Pytorch implementation of our paper accepted by ICLR 2023 -- "Real-time Image Demoireing on Mobile Devices".
43lottery-jackpots. Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models
35LBC. Pytorch implementation of our paper accepted by NeurIPS 2022 -- Learning Best Combination for Efficient N:M Sparsity
22White-Box. Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 — Carrying out CNN Channel Pruning in a White Box
18Bi-Mask. Pytorch implementation of our paper accepted by ICML 2023 -- "Bi-directional Masks for Efficient N:M Sparse Training"
13OptG. Pytorch implementation of our paper under review - Optimizing Gradient-driven Criteria in Network Sparsity: Gradient is All You Need
4Fast-Vital. Speed up vital tracker using pruning or quantification method
3Faster-RCNN-ABCPruner. Apply our pruned model to faster-rcnn and achieved better results
1SpRE. Pytorch implementation of our paper under review - Spatial Re-parameterization for N:M Sparsity
1Images.
1ABCPruner. Python
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